ABSTRACT
Advancements in biotelemetry technology have led to a rich set of statistical tools for analyzing data arising as observations of spatio-temporal trajectories of individual animals. The techniques that have been developed for studying animal movement include a huge variety of approaches, from theoretical, to simulation-based, to statistical. Data uncertainty is an important component of animal movement models because all sources of telemetry data are measured with error. Most animal movement models rely heavily on concepts from spatial statistics and time series. However, because many animal movement models originated in other disciplines, they often are referred to with different names. For example, one of the most commonly used statistical models for animal movement is the point process model, but animal ecologists are more familiar with the phrase “resource selection function” (RSF).
